Temperature-dependent dominance of Microcystis (Cyanophyceae) species: M. aeruginosa and M. wesenbergii

Imai, Hideki; Chang, Kwang‐Hyeon; Kusaba, Maiko; Nakano, Susumu

doi:10.1093/plankt/fbn110

Cited by 148 publications

(99 citation statements)

References 34 publications

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“…M. wesenbergii was also significantly correlated with TN, TP and WT, indicating that the dynamic of M. wesenbergii was probably influenced extensively by both nutrients (nitrogen and phosphorus) and temperature. Previous studies have demonstrated that the WT had significant influence on the growth and succession of Microcystis species (Krüger and Eloff, 1978;Imai et al, 2009;Zhai, 2013). Imai et al (2009) Lake Kasumigaura, Japan.…”

Section: Explanation Of the Dynamics Of Microcystis Morphospeciesmentioning

confidence: 99%

“…Previous studies have demonstrated that the WT had significant influence on the growth and succession of Microcystis species (Krüger and Eloff, 1978;Imai et al, 2009;Zhai, 2013). Imai et al (2009) Lake Kasumigaura, Japan. M. viridis is able to survive at lower WT, showing that more rigorous management strategies are needed for the control of Microcystis bloom in Dianchi Lake.…”

Section: Explanation Of the Dynamics Of Microcystis Morphospeciesmentioning

confidence: 99%

See 1 more Smart Citation

Seasonal dynamics of water bloom-forming Microcystis morphospecies and the associated extracellular microcystin concentrations in large, shallow, eutrophic Dianchi Lake

Лин

Gan

et al. 2014

Journal of Environmental Sciences

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Section: Explanation Of the Dynamics Of Microcystis Morphospeciesmentioning

confidence: 99%

Section: Explanation Of the Dynamics Of Microcystis Morphospeciesmentioning

confidence: 99%

Seasonal dynamics of water bloom-forming Microcystis morphospecies and the associated extracellular microcystin concentrations in large, shallow, eutrophic Dianchi Lake

Лин

Gan

et al. 2014

Journal of Environmental Sciences

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“…Increased water temperature is expected to give cyanobacteria a selective advantage over competing phytoplankton because of the high optimal growth temperature of cyanobacterial species (Elliott et al, 2006;Jöhnk et al, 2008). Laboratory studies on Microcystis aeruginosa have demonstrated increasing growth rates with increasing temperatures from 20 to 32 C (van der Westhuizen and Eloff, 1985;Watanabe and Oishi, 1985;Imai et al, 2009). Robarts and Zohary (1987) found that temperatures of 25-35 C resulted in the highest growth rates of bloom-forming cyanobacteria, including Microcystis.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of Microcystis aeruginosa growth and [D-Leu1] microcystin-LR production in culture media at different temperatures

et al. 2017

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A B S T R A C TThe effect of temperature (26 C, 28 C, 30 C and 35 C) on the growth of native CAAT-3-2005 Microcystis aeruginosa and the production of Chlorophyll-a (Chl-a) and Microcystin-LR (MC-LR) were examined through laboratory studies. Kinetic parameters such as specific growth rate (m), lag phase duration (LPD) and maximum population density (MPD) were determined by fitting the modified Gompertz equation to the M. aeruginosa strain cell count (cells mL À1 ). A 4.8-fold increase in m values and a 10.8-fold decrease in the LPD values were found for M. aeruginosa growth when the temperature changed from 15 C to 35 C. The activation energy of the specific growth rate (Em) and of the adaptation rate (E 1 /LPD) were significantly correlated (R 2 = 0.86). The cardinal temperatures estimated by the modified Ratkowsky model were minimum temperature = 8.58 AE 2.34 C, maximum temperature = 45.04 AE 1.35 C and optimum temperature = 33.39 AE 0.55 C.Maximum MC-LR production decreased 9.5-fold when the temperature was increased from 26 C to 35 C. The maximum production values were obtained at 26 C and the maximum depletion rate of intracellular MC-LR was observed at 30-35 C. The MC-LR cell quota was higher at 26 and 28 C (83 and 80 fg cell À1 , respectively) and the MC-LR Chl-a quota was similar at all the different temperatures (0.5-1.5 fg ng À1 ).The Gompertz equation and dynamic model were found to be the most appropriate approaches to calculate M. aeruginosa growth and production of MC-LR, respectively. Given that toxin production decreased with increasing temperatures but growth increased, this study demonstrates that growth and toxin production processes are uncoupled in M. aeruginosa. These data and models may be useful to predict M. aeruginosa bloom formation in the environment.

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“…However, Microcystis proportions in most of the five enclosures were no more than 40% in our research. This might be caused by the two rapid cooling periods (Chen et al, 2003;Imai et al, 2009). In second rapid cooling period, the percentage of Microcystis biomass decreased much more rapidly compared with the first cooling period.…”

Section: Phytoplankton Compositionmentioning

confidence: 96%

Influence of sunlight on the proliferation of cyanobacterial blooms and its potential applications in Lake Taihu, China

Zhou

Chen

Shan

et al. 2014

Journal of Environmental Sciences

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Temperature-dependent dominance of Microcystis (Cyanophyceae) species: M. aeruginosa and M. wesenbergii

Cited by 148 publications

References 34 publications

Seasonal dynamics of water bloom-forming Microcystis morphospecies and the associated extracellular microcystin concentrations in large, shallow, eutrophic Dianchi Lake

Seasonal dynamics of water bloom-forming Microcystis morphospecies and the associated extracellular microcystin concentrations in large, shallow, eutrophic Dianchi Lake

Mathematical modeling of Microcystis aeruginosa growth and [D-Leu1] microcystin-LR production in culture media at different temperatures

Influence of sunlight on the proliferation of cyanobacterial blooms and its potential applications in Lake Taihu, China

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